- Open Access
Elevation gradient of soil bacterial communities in bamboo plantations
© Lin and Chiu. 2016
- Received: 5 January 2016
- Accepted: 23 February 2016
- Published: 29 February 2016
Elevation trends of macro organisms have long been well studied. However, whether microbes also exhibit such patterns of elevation change is unknown. Here, we investigated the changes in bamboo forest soil bacterial communities along six elevation gradients, from 600 to 1800 m a.s.l. in Mt. Da-an, a subtropical montane area in Nantou county at central Taiwan.
Data from 16S rRNA gene clone libraries revealed that more than 70 % of the six communities contained Acidobacteria and Proteobacteria, although the relative abundance differed. Nonmetric multidimensional scaling analysis of the distribution of operational taxonomic units showed differences in bamboo soil bacterial communities across gradients. The bacterial communities at 1000 and 1200 m showed greater diversity than the communities at both lower (600 and 800 m) and higher (1400 and 1800 m) elevations. In contrast to the bacterial community trend, soil C and N and microbial biomass properties increased linearly with elevation.
The bamboo soil bacterial community could interact with multiple factors such as soil organic matter content and temperature, for differences in composition and diversity with change in elevation.
- 16S rRNA genes
- Bacterial diversity
Understanding the responses of soil communities across elevation gradients has long been a fascinating topic for ecologists. The composition of macro organisms along elevation gradients have been well studied (Herzog et al. 2005; Rahbek 2005; Kreft and Jetz 2007; McCain 2009). However, the distribution of microorganisms might not follow the same ecological rules as for macro organisms. For instance, the number of total bacteria, methanotrophic bacteria and ammonia-oxidizing archaea was negatively correlated with increasing elevation (Ma et al. 2004; Giri et al. 2007; Zhang et al. 2009), but the content of Gram-negative bacteria increases with increasing elevation in the Austrian central Alps (Margesin et al. 2009). Also, bacterial diversity decreased with elevation in the mountains of the southwestern United States (Bryant et al. 2008). However, in eastern Peru, the community diversity did not show a significant elevation gradient (Fierer et al. 2011). In South Korea, higher diversity occurs at high and low elevations, with minimum richness at middle elevations (Singh et al. 2014). Our understanding of major determinants of the distribution of bacteria is still largely limited. Considering the essential roles of microorganisms in many biogeochemical cycles in ecosystems, more studies on the bacterial trends among different mountain ecosystems are needed.
In East Asia, bamboo is one of the most important forest resources and can be used as construction or furniture material. Young bamboo shoots are also in high demand as a healthy food. Regular management, such as removal of understory vegetation as well as tillage and fertilizer application, is often used to maintain and increase bamboo production.
In the present study, we collected soil samples from moso bamboo plantations along six elevations, from 600 to 1800 m a.s.l., in central Taiwan. This transect provides an opportunity to study elevation distribution without the effects of different vegetation. Previously, we found the high-elevation bamboo plantations (1200 and 1400 m) significantly differed from low elevation plantations (600, 800, and 1000 m), with higher soil C and N contents, higher concentrations of soil soluble organic C and N, and a greater amount of soil microbial biomass C and N (Huang et al. 2014). However, the bacterial community trend along elevation gradients is still unknown. Using 16S rRNA gene clone library analysis, we attempted to elucidate the responses of the structure and diversity of the bamboo soil bacterial community to elevation gradients.
Site description and soil sampling
Soil chemical and physical properties of study sites
Organic C (g kg−1)
Total N (g kg−1)
At each elevation, three 25 × 25 m plots were established along transect lines in January 2012. The soil samples were collected in winter to avoid differences caused by seasonal changes. Within each plot, three subsamples were collected by use of a soil auger 8 cm in diameter and 10 cm deep and were combined. Visible detritus materials, such as roots and litter, were manually removed prior to passing soil through a 2-mm sieve. Soils were then stored at −20 °C, and extraction of soil community DNA was performed within 2 weeks.
The 16S rRNA gene clone libraries were constructed as described (Lin et al. 2010). In brief, soil community DNA was extracted by using the PowerSoil® Soil DNA Isolation kit (MoBio Industries, Carlsbad, CA, USA) following the manufacturer’s instructions. The bacterial 16S rRNA genes were amplified by PCR with the primer set 27F and 1492R (Lane 1991). After 15 cycles, the PCR products were cloned by using the TOPO TA cloning kit (Invitrogen, Carlsbad, CA, USA) and the pCR2.1 vector. White colonies on selective Luria–Bertani (LB) agar plates were picked into 96-well blocks containing 1 ml LB broth plus kanamycin (50 µg ml−1) and grown overnight. Sterile glycerol was added to a final concentration of 10 %, and an aliquot was transferred to a 96-well sequencing block. Both the sequencing and the original culture blocks were stored at −80 °C.
DNA sequencing and sequence analyses
Bacterial clones were partially sequenced with the primer 27F. Sequence analysis involved an ABI PRISM Big Dye Terminator cycle sequencing ready reaction kit (Applied Biosystems, Foster City, CA, USA) and an ABI 3730 Genetic Analyzer (Applied Biosystems) following the manufacturer’s instructions. Sequences were analyzed with the Mallard and Pintail programs to test for chimeras (Ashelford et al. 2005, 2006). The entire clone sequences obtained in the study have been deposited to GenBank (accession numbers KJ407398-KJ408214 and KM108145-KM108301).
Taxonomic assignment of sequences from the clone library was made using the naïve Bayesian rRNA classifier (Wang et al. 2007) in the Ribosomal Database Project (RDP) (http://rdp.cme.msu.edu/index.jsp). Diversity estimates, including Shannon diversity index, Chao1 estimator and rarefaction analysis, were calculated for operational taxonomic units (OTUs) with 97 % 16S rRNA gene sequence similarity by using the program DOTUR (Schloss and Handelsman 2005). PRIMER V6 (PRIMER-E, Lutton, Ivybridge, UK) was used for non-metric multi-dimensional scaling (NMDS) generated with Bray-Curtis similarity of sequence data. Mantel tests as implemented in PRIMER v6 were also assessed to analyze the relationships between phylogenetic distances of bacterial communities and soil properties.
Phylogenetic groups of bacterial community
The 10 most abundant phylogenetic groups detected in bamboo soil communities along elevation gradients
Percentage of clones
Diversity of soil bacterial communities detected in 16S rRNA gene clone librariesa
Measure of diversity
No. of sequences
No. of OTUs
95 % Chao 1
Bacterial community comparison
Relative abundance and phylogenetic affiliation of the ten most abundant OTUsa
No. of sequences
In the present study, along six elevation gradients from 600 to 1800 m a.s.l. in bamboo forests, the soil bacterial communities at 1000 and 1200 m a.s.l. showed higher levels of diversity than those at both lower and higher elevations. The diversity differed from the monotonic and unimodal patterns observed for macro organisms (Rahbek 2005; McCain 2009). This result is similar to the changes in bacterial diversity with elevation on Mount Fuji (Singh et al. 2012), suggesting that the pattern of bamboo soil bacterial diversity along elevation gradients is different from that of plants and animals. With phospholipid fatty acid and denaturing gradient gel electrophoresis analysis, the microbial community the low and high elevations (Chang et al. 2016). In a comprehensive analysis of soil bacterial communities across six elevations representing six vegetation types from forest to alpine tundra in Mt. Changbai, China, pH was the best predictor of community composition, and vegetation could have indirectly affected the communities by altering soil C and N status across elevation gradients (Shen et al. 2013). In the present study, the range of soil pH was narrow (3.4-4.4), and pH was not significantly correlated with bacterial community structure. Because small pH changes could cause differences in bacterial communities within short and long distances (Yergeau et al. 2010; Sagova-Mareckova et al. 2011), the effects of pH on the bamboo soil community in this region still need to be further investigated.
Disturbance can be a major factor affecting the bamboo soil bacterial diversity. In recent years, the major production area for timber and bamboo shoots has changed from 600 and 800 m to 1000 and 1200 m in this region. However, the plantations we studied possessed comparable culm density and ages, which indicates similar bamboo productivity and levels of disturbance. Because of the different owners, the bamboo plantations might have been subjected to different fertilizer application and stem harvest, and determining the exact influence of human activity is difficult. One study showed that the effects of disturbance could affect microbial communities across time (Keiser et al. 2011), suggesting the need for further elucidation in these communities.
The Acidobacteria were the most abundant group. They also predominate in other ecosystems, including agricultural systems and subtropical and tropical forests (Jangid et al. 2011; Araujo et al. 2012; Meng et al. 2013). Acidobacteria are generally considered as oligotrophs (Nemergut et al. 2010) and versatile heterotrophs, exhibiting slow metabolic rates under low-nutrient conditions (Ward et al. 2009). Bamboo could release a large number of allelopathic compounds. The heterotrophic ability to survive with allelopathic compounds could be further explored.
Proteobacteria were also abundant in these communities, with α-Proteobacteria the most abundant across different elevations. Within α-Proteobacteria, many sequences were related to the Rhizobiales and Rhodospirillales, indicating the potential role for N2 fixation, organic matter decomposition and plant growth promotion in the soils (Zhang and Xu 2008; Yarwood et al. 2009). Higher soil C/N ratio in higher elevations may indicate lower amounts of available nitrogen and requirement for N2-fixing bacteria in the community. The relatively high abundance of Rhizobiales-affiliated OTUs at 1400 and 1800 m was associated with high soil C/N ratio, which is an important factor to predict community structure (Chu et al. 2010).
The relative abundance of Bacteroidetes was higher at 1400 m than that at other elevations. Known as copiotrophic bacteria, Bacteroidetes species tend to be found in nutrient-rich environments (Fierer et al. 2007). High elevation with high amounts of organic C and lower decomposition rates could provide a favorable condition for the growth of Bacteroidetes. Our previous study also revealed a higher abundance of Bacteroidetes in a cedar forest than adjacent bamboo forest soils (Lin et al. 2013). These results suggest that the Bacteroidetes, as well as the phyla Acidobacteria and Proteobacteria, could play an important role in the soil bacterial community.
In conclusion, our study revealed that bacterial diversity of bamboo soil communities were lower at both lower and higher elevations in this mountain area of central Taiwan, with greater diversity at 1000 and 1200 m. As well, the community structure differed by elevation. Considering the low sequence number in the clone library, further studies with more sequences and using next generation sequencing technique (e.g., pyrosequencing) are needed to address the responses of the bamboo soil community along elevation gradients.
The authors declare that they have no competing interests.
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